Maria Luisa Landi

About

Maria Luisa Landi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Maria Luisa Landi has authored 11 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 4 papers in Genetics. Recurrent topics in Maria Luisa Landi’s work include Pituitary Gland Disorders and Treatments (9 papers), Adrenal and Paraganglionic Tumors (6 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). Maria Luisa Landi is often cited by papers focused on Pituitary Gland Disorders and Treatments (9 papers), Adrenal and Paraganglionic Tumors (6 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). Maria Luisa Landi collaborates with scholars based in Italy. Maria Luisa Landi's co-authors include Gaetano Lombardi, Antonella Di Sarno, Annamaria Colao, Rosario Pivonello, Carolina Di Somma, Francesca Sarnacchiaro, Francesco Di Salle, Paolo Cappabianca, Bartolomeo Merola and S. Cirillo and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Metabolism and European Journal of Endocrinology.

In The Last Decade

Co-authorship network of co-authors of Maria Luisa Landi i

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Fields of papers citing papers by Maria Luisa Landi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Luisa Landi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maria Luisa Landi. The network helps show where Maria Luisa Landi may publish in the future.

Countries citing papers authored by Maria Luisa Landi

Since Specialization

Citations

This map shows the geographic impact of Maria Luisa Landi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maria Luisa Landi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Luisa Landi more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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